多傳感器交叉提示技術(shù)在傳感器聯(lián)盟中的應(yīng)用
發(fā)布時(shí)間:2018-06-30 04:55
本文選題:傳感器聯(lián)盟 + 動(dòng)態(tài)控制。 參考:《西安交通大學(xué)學(xué)報(bào)》2017年07期
【摘要】:圍繞多傳感器交叉提示技術(shù)在傳感器聯(lián)盟中的應(yīng)用展開研究,用多傳感器交叉提示技術(shù)組建并更新傳感器聯(lián)盟,解決傳感器聯(lián)盟的動(dòng)態(tài)控制問題。在建立傳感器聯(lián)盟組建過程中,以節(jié)省傳感器資源和提高傳感器資源利用率為目的建立目標(biāo)函數(shù),將單目標(biāo)跟蹤精度需求作為約束條件,建立了傳感器聯(lián)盟模型。在傳感器聯(lián)盟更新過程中,提出預(yù)測(cè)更新的傳感器管理結(jié)構(gòu)。設(shè)計(jì)基于多維協(xié)商的多傳感器交叉提示分布式算法,用于求解及更新傳感器聯(lián)盟方案。仿真實(shí)驗(yàn)表明了文中模型的有效性,與拍賣算法和粒子群算法相比,所提算法收斂速度快,求解質(zhì)量較好;與測(cè)量更新的結(jié)構(gòu)相比,預(yù)測(cè)更新的傳感器管理結(jié)構(gòu)更適應(yīng)于作戰(zhàn)態(tài)勢(shì)變化較快的情形。
[Abstract]:Based on the research of the application of multi-sensor cross prompt technology in sensor alliance, the sensor alliance is constructed and updated by multi-sensor cross prompt technology to solve the dynamic control problem of sensor alliance. In the process of establishing sensor alliance, the objective function is established to save sensor resources and improve the utilization ratio of sensor resources, and the model of sensor alliance is established with the requirement of single target tracking precision as the constraint condition. In the process of sensor alliance updating, the sensor management structure of predictive update is proposed. A multi-sensor cross-prompt distributed algorithm based on multi-dimensional negotiation is designed to solve and update the sensor alliance scheme. The simulation results show the effectiveness of the proposed model. Compared with the auction algorithm and particle swarm optimization algorithm, the proposed algorithm has faster convergence speed and better solution quality. The predictive updated sensor management structure is more suitable for the situation where the combat situation changes rapidly.
【作者單位】: 空軍工程大學(xué)防空反導(dǎo)學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(61573374);國家自然科學(xué)基金青年基金資助項(xiàng)目(61503408) 航空科學(xué)基金資助項(xiàng)目(20150196006)
【分類號(hào)】:TP212
【參考文獻(xiàn)】
相關(guān)期刊論文 前4條
1 方德亮;冉曉e,
本文編號(hào):2084993
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